Tell about the most complex and interesting problem you have solved, especially about architectural experience.

One of the most challenging and interesting tasks was developing a distributed service in Go for processing large streams of data in real-time.

Architecturally, the task required:

• High fault tolerance and scalability.
• Efficient management of streams and goroutines.
• Use of channels for synchronization and data transfer.

I implemented an architecture with multiple processing levels: data reception, preliminary filtering, aggregation, and database recording. To balance the load, I used a worker pool with dynamic scaling.

Here's an example of a simplified worker pool code in Go:

func worker(id int, jobs <-chan Job, results chan<- Result) {
    for job := range jobs {
        // process task
        result := process(job)
        results <- result
    }
}

func main() {
    jobs := make(chan Job, 100)
    results := make(chan Result, 100)

    for w := 1; w <= 5; w++ {
        go worker(w, jobs, results)
    }

    for j := 1; j <= 20; j++ {
        jobs <- Job{id: j}
    }
    close(jobs)

    for a := 1; a <= 20; a++ {
        <-results
    }
}

This experience allowed me to deepen my understanding of concurrency in Go and build a reliable architecture for high-load systems.